Now showing items 1-20 of 23

  • Unconventional Methods in Voynich Manuscript Analysis 

    Zelinka, Ivan; Zmeskal, Oldrich; Windsor, Leah; Cai, Zhiqiang (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    This paper discusses the possible use of unconventional algorithms on analysis and categorization of the unknown text, including documents written in unknown languages. Scholars have identied about ten famous manuscripts, ...
  • Evolving Predictions for Executive Pay Features in Board Networks 

    Hauptman, Ami; Benbassat, Amit; Rosenboim, Rosit (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    Numerous recent studies in finance literature have shown that board networks are an important inter-corporate setting, influencing corporate decisions made by the board of directors, for example the determination of executive ...
  • Machine Learning Blunts the Needle of Advanced SQL Injections 

    Volkova, Marina; Chmelar, Petr; Sobotka, Lukas (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    SQL injection is one of the most popular and serious information security threats. By exploiting database vulnerabilities, attackers may get access to sensitive data or enable compromised computers to conduct further network ...
  • Heuristics for Waste Collection Arc Routing Problem 

    Nevrlý, Vlastimír; Šomplák, Radovan; Popela, Pavel (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    Waste management is still an expanding eld which needs to be constantly enhanced so that waste transportation and treatment is as eective as possible. An important part of this process is a waste collection at the municipal ...
  • Sensitivity Analysis of Evolutionary Algorithm for Software Reusability 

    Rathee, Amit; Chhabra, Jitender Kumar (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    Fast and competitive software industry demands rapid development using Component Based Software Development (CBSD). CBSD is dependent on the availability of the high-quality reusable component libraries. Recently, ...
  • Segmentation Method Overview for Thermal Images in Matlab Computational Environment 

    Bostik, Ondrej; Valach, Sobeslav; Horak, Karel; Klecka, Jan (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    This paper presents an overview of methods usable for segmentation of thermal images in MATLAB computational environment. The goal of this work is the demonstration usage of available methods and evaluate their performance. ...
  • Prediction of Compressive Strength Using Support Vector Regression 

    Sai, Goutham J; Singh, Vijay Pal (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    At the design stage of a structure, the members of adequate dimension and strength is provided. But with passage of time, the strength of the members reduces gradually due to exposure to environmental conditions and ...
  • Self-Organizing Migrating Algorithm Pareto 

    Diep, Quoc Bao; Zelinka, Ivan; Das, Swagatam (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    In this paper, we propose a new method named Pareto-based self-organizing migrating algorithm (SOMA Pareto), in which the algorithm is divided into the Organization, Migration, and Update processes. The important key in ...
  • Comparison of Evolutionary Development of Cellular Automata Using Various Representations 

    Bidlo, Michal (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    A comparative study is presented regarding the evolutionary design of complex multi-state cellular automata. In particular, two-dimensional cellular automata will be considered in combination with pattern development problem ...
  • Modeling of Complex Systems by Means of Partial Algebras 

    Bila, Jiri; Rodríguez, Ricardo Jorge; Novak, Martin (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    Complex systems are very hard to describe by some unified language and calculus. In cases when their nature is very heterogeneous is possible to use with advantage state description. Formalization of operations on the set ...
  • Efficient Computation of Fitness Function for Evolutionary Clustering 

    Muravyov, Sergey; Antipov, Denis; Buzdalova, Arina; Filchenkov, Andrey (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    Evolutionary algorithms (EAs) are random search heuristics which can solve various optimization problems. There are plenty of papers describing different approaches developed to apply evolutionary algorithms to the clustering ...
  • Eigenvector Crossover in the Efficient jSO Algorithm 

    Bujok, Petr; Polakova, Radka (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    In this paper, a new variant of an efficient adaptive jSO algorithm is presented. The original jSO uses popular binomial crossover which is applied in a standard coordinate system. Many problems tend to rotate the coordinate ...
  • Hybrid Symbolic Regression with the Bison Seeker Algorithm 

    Merta, Jan (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    This paper focuses on the use of the Bison Seeker Algorithm (BSA) in a hybrid genetic programming approach for the supervised machine learning method called symbolic regression. While the basic version of symbolic regression ...
  • Simulation-Based Rail Traffic Optimizations Applying Multicriterial Evaluations of Variants 

    Bažant, Michael; Kavička, Antonín; Diviš, Roman; Varga, Michal (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    The contribution pays attention to assessing a selected method related to multicriterial evaluations of variants. That method is exploited for supporting automatized decision-making processes related to special operational ...
  • Load Frequency Control of HVDC Link Interconnected Power System Using Genetic Algorithm 

    Chanana, Saurabh; Kumar, Saurabh (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    Advances in power electronics have improved grid support functions such as tie-line power control and frequency control, making renewable generation and High Voltage DC (HVDC) links more common in power system applications. ...
  • Modeling CBR Value using RF and M5P Techniques 

    Suthar, Manju; Aggarwal, Praveen (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    Two modeling techniques namely (i) Random forest (RF) and (ii) M5P model tree are used to model, soaked California bearing ratio (CBR) value of thermal power plant generated stabilized pond ash. Pond ash was stabilized ...
  • Neuro-Evolution of Mobile Robot Controller 

    Sekaj, Ivan; Cíferský, Ladislav; Hvozdík, Milan (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    We present a neuro-evolution design for control of a mobile robot in 2D simulation environment. The mobile robot is moving in unknown environment with obstacles from the start position to the goal position. The trajectory ...
  • On the Leader Selection in the Self-Organizing Migrating Algorithm 

    Tomaszek, Lukas; Zelinka, Ivan; Chadli, Mohammed (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    In this article, a novel leader selection strategy for the self-organizing migrating algorithm is introduced. This strategy replaces original AllToOne and AllToRand strategies. It is shown and statistically tested, that ...
  • Ant Colony Optimisation for Performing Computational Task in Cellular Automata 

    Bidlo, Michal; Korgo, Jakub (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    A method is presented for the design of cellular automata rules by means of ant algorithms. In particular, Elitist Ant System and a~modified MAX-MIN Ant System are applied to search for transition functions of 1D cellular ...
  • InterRC: An Inter-Resources Collaboration Heuristic for Scheduling Independent Tasks on Heterogeneous Distributed Environments 

    Khiat, Abdelhamid; Tari, Abdelkamel (Institute of Automation and Computer Science, Brno University of Technology, 2019-06-24)
    The independent task scheduling problem in distributed computing environments with makespan optimization as an objective is an NP-Hard problem. Consequently, an important number of approaches looking to approximate the ...